3 of 3 Permanent Model Validation Jobs in the East Midlands

techniques to engineering and simulation problems. Experience working with engineering simulation platforms such as: ANSYS Abaqus COMSOL Experience designing and executing research programmes and validation studies. AI & Advanced Analytics Machine Learning and Deep Learning applied to engineering systems. Experience with LLMs and Generative AI technologies. Retrieval-Augmented Generation … knowledge-based systems. Hybrid AI-physics modelling approaches. Model validation, benchmarking, and performance assessment. Knowledge of Model-Based Systems Engineering (MBSE). Experience with SysML and tools such as: Cameo Capella Enterprise Architect Experience integrating simulation environments with system-level engineering processes. Software & Cloud API development ...

commercial curiosity. The Data Scientist will own selected use cases across the full lifecycle—from problem definition, data exploration and feature engineering through to model development, deployment, monitoring and continuous improvement and will be accountable for demonstrating measurable operational or commercial value. The role will also influence technical … support strategic and operational decision making. Develop, validate and deploy predictive models, forecasting models and AI solutions that deliver measurable business value. Evaluate model effectiveness and monitoring model drift. Develop and maintain governed, trusted datasets for BI/analytics and data science use cases. Ensure appropriate data quality ...

domains. Design, implement, and evaluate AI models incorporating text, image, and multimodal reasoning capabilities. Develop and optimise Retrieval-Augmented Generation (RAG) architectures. Drive experimentation, model evaluation, benchmarking, and validation activities. Fine-tune and adapt foundation models for business-specific use cases. Collaborate with engineering teams to transition research … Mistral, or equivalent. Experience with Vision Language Models (VLMs) including CLIP, BLIP, and related multimodal architectures. Strong understanding of prompt engineering, fine-tuning, and model optimisation. Experience designing and implementing RAG pipelines. Deep knowledge of multimodal AI, vision-language fusion, and reasoning systems. Experience evaluating model performance, robustness ...